Performance Comparison of Discrete Wavelet Transform and Dual Tree Discrete Wavelet Transform for Automatic Airborne Target Detection

Automatic airborne target detection is a challenging task in video surveillance applications. In our paper, an automatic target detection (ATD) algorithm using cooccurrence features, derived from sub-bands of discrete wavelet transform / dual tree discrete wavelet transformed sub blocks to identify the seed sub-block, and then to detect the target using region growing algorithm is presented. Also, the performance of discrete wavelet transform and dual tree discrete wavelet transform for automatic airborne target detection has been compared and presented.